AC-Small Improves on APEX-Agents Dev Set
AC-Small improved significantly on held-out benchmarks after post-training on the APEX-Agents dev set, with +5.7pp on APEX, +8.0pp on Toolathalon, and +7.7pp on GDPval. This showcases the model's ability to generalize and adapt to new data. The improvement is substantial, indicating the potential for AI models to learn from diverse datasets. As AI enthusiasts, this development is crucial for understanding how models can be fine-tuned for better performance.